Scientific Computing is an interdisciplinary research branch that
combines methods from Mathematics and Computer Science to solve complex
scientific problems. Ranging from constructing mathematical models for
real-world phenomena to large-scale simulations and data analysis,
Scientific Computing nowadays is successfully applied in various
scientific disciplines. These not only include the traditional natural
sciences such as Physics, Chemistry, and Biology but also the Humanities
and Social Sciences.
The objective of this seminar is to provide students an introduction to the fundamental concepts and techniques of Scientific Computing.
Topics to be covered in this seminar include
- Multi-scale Modeling and Simulations
- Finite Element Method
- Cellular Automata
- Dynamic Systems
- Computational Fluid Dynamics and Molecular Dynamics
- Scientific Workflows and Provenance
- Scientific Infrastructure (Parallelization, Cloud, Visualization)
- Scholarly Communication
- Scientific Computing approaches in the Sciences
Thursdays, 4-6pm, INF 368, Room 532. The first meeting will take place
on Thursday, April 19. In this meeting, organizational issues will be
discussed and a list of papers will
be presented students can choose from for their seminar.
In order to receive the 4 ECST for this seminar, students have to (1)
participate in all presentations, (2) give a presentation (about 40
minutes, in German or English), and (3) prepare a technical report
covering the topic they presented in the seminar. More details will be
given during the first meeting.
Computer Science (Informatik) as major or minor as well as students from
other science disciplines; some background in linear algebra, numerical
analysis, and data management and analysis is recommended but not
Prof. Dr. Michael Gertz, gertz(at)informatik.uni-heidelberg(dot)de, INF 348, Room 12b. All material related to this seminar will be provided through the Moodle Web-site for this seminar; see also elearning.uni-heidelberg.de/course/enrol.php.